The implicit preference evaluation for the ceramic tiles with different visual features: Evidence from an...

Ceramic tiles are widely used in interior and exterior design due to their aesthetic and functional properties. While subjective preferences for tile features are commonly assessed, few studies have examined implicit preferences using neurophysiological measures. Prior research has shown that visual features like pattern, color, and lightness influence perception, but the underlying cognitive processes remain unclear. This gap motivated the use of event-related potential (ERP) technology to explore implicit responses to ceramic tile features. No prior work had resolved how different visual characteristics of tiles affect early and late stages of visual processing. Researchers have proposed that emotional and attentional responses may vary based on tile features. However, the specific neural correlates of these responses remain understudied. The lack of objective data on how people process tile features has limited design and marketing strategies in the ceramic tile industry. This study aimed to address this by combining subjective ratings with ERP data to better understand implicit preferences.

The goal of this research was to evaluate how different visual features of ceramic tiles influence implicit preferences and visual attention using both subjective and neurophysiological measures. The study focused on three key tile features: pattern, lightness, and color system. The researchers aimed to determine how these features affect early and late stages of visual processing. They hypothesized that certain features would elicit stronger neural responses and higher subjective preference scores. The motivation stemmed from the need to provide evidence-based guidance for tile design and marketing. By combining ERP data with subjective ratings, the study sought to uncover how people process tile features at a cognitive level. The study also aimed to identify which features are most influential in early versus later stages of visual processing. This approach allows for a more comprehensive understanding of how visual characteristics of tiles impact human perception.

The study used a combination of subjective questionnaires and event-related potential (ERP) technology to assess implicit preferences for ceramic tiles. Twelve tile conditions were created using a factorial design (2 patterns × 3 lightness levels × 2 color systems). EEG data were collected from 20 participants as they viewed the tile images. Subjective preference scores were gathered using a standardized questionnaire. ERPs were analyzed for specific components like N100, P200, and N200 to assess early and late stages of visual processing. The data were analyzed using analysis of variance and correlation analysis to identify significant effects. This approach allowed for a direct comparison between subjective ratings and neural responses. The use of ERP technology provided objective neurophysiological evidence of attention and preference. The factorial design ensured a comprehensive evaluation of how each tile feature influences perception.

Pattern, lightness, and color system factors significantly affected subjective preference scores for ceramic tiles. Unpatterned, light-toned, and warm-colored tiles received the highest preference scores. ERP amplitudes were moderated by tile preferences, with light-toned tiles inducing greater N100 amplitudes than medium- and dark-toned tiles. Patterned and warm-colored tiles with low preference scores elicited greater P200 and N200 amplitudes. Light-toned tiles attracted more attention in early visual processing, possibly due to positive emotional effects. Patterned and neutral-colored tiles captured more attention in the middle stage of processing, suggesting a negativity bias. The results indicate that lightness is detected first in visual processing, while pattern and color are processed at a higher level. These findings provide insights into how visual features influence both implicit and explicit preferences for ceramic tiles.

The study found that pattern, lightness, and color system factors significantly influence both subjective preferences and ERP amplitudes for ceramic tiles. Light-toned tiles were preferred and elicited stronger early-stage neural responses, possibly due to positive emotional associations. Patterned and neutral-colored tiles with low preference scores induced greater middle-stage ERP amplitudes, suggesting a negativity bias. These findings support the idea that lightness is detected early in visual processing, while pattern and color are processed at a higher level. The results suggest that visual features influence attention and preference through distinct cognitive mechanisms. The authors propose that these findings can guide design and marketing strategies in the ceramic tile industry. The study highlights the importance of considering both subjective and neurophysiological data in evaluating visual preferences. The results indicate that implicit preferences can be reliably measured using ERP technology.